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Models/GraphCMR

GraphCMR

Reported on 8 benchmarks across 4 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

  • 3D Human Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2019-05-08
    74.7
    best: 131.7 (Rhodin et al.)
    Convolutional Mesh Regression for Single-Image Human Shape ReconstructionarXiv:1905.03244
  • 3D Human Pose EstimationonHuman3.6M
    Frames Needed· 2019-05-08
    1
    best: 300 (Sparseness Meets Deepness)
    Convolutional Mesh Regression for Single-Image Human Shape ReconstructionarXiv:1905.03244
  • Pose EstimationonHuman3.6M
    Average MPJPE (mm)· 2019-05-08
    74.7
    best: 131.7 (Rhodin et al.)
    Convolutional Mesh Regression for Single-Image Human Shape ReconstructionarXiv:1905.03244
  • Pose EstimationonHuman3.6M
    Frames Needed· 2019-05-08
    1
    best: 300 (Sparseness Meets Deepness)
    Convolutional Mesh Regression for Single-Image Human Shape ReconstructionarXiv:1905.03244

Methodology2 results

  • 3DonHuman3.6M
    Average MPJPE (mm)· 2019-05-08
    74.7
    best: 131.7 (Rhodin et al.)
    Convolutional Mesh Regression for Single-Image Human Shape ReconstructionarXiv:1905.03244
  • 3DonHuman3.6M
    Frames Needed· 2019-05-08
    1
    best: 300 (Sparseness Meets Deepness)
    Convolutional Mesh Regression for Single-Image Human Shape ReconstructionarXiv:1905.03244

Audio2 results

  • 1 Image, 2*2 StitchionHuman3.6M
    Average MPJPE (mm)· 2019-05-08
    74.7
    best: 131.7 (Rhodin et al.)
    Convolutional Mesh Regression for Single-Image Human Shape ReconstructionarXiv:1905.03244
  • 1 Image, 2*2 StitchionHuman3.6M
    Frames Needed· 2019-05-08
    1
    best: 300 (Sparseness Meets Deepness)
    Convolutional Mesh Regression for Single-Image Human Shape ReconstructionarXiv:1905.03244